Everyone is talking about is a recent report from the Massachusetts Institute of Technology revealing that 95% of generative artificial intelligence pilot programs in enterprises fail to deliver results. The study, titled The GenAI Divide: State of AI in Business 2025, indicates that while there is significant promise in generative AI, most initiatives struggle to accelerate revenue growth, with only 5% achieving rapid returns. The research was based on interviews with 150 leaders, a survey of 350 employees, and an analysis of 300 public AI deployments. Aditya Challapally, the lead author, noted that many companies are faltering not due to the quality of AI models, but rather a “learning gap” in integrating these tools into their operations. The report highlights that more than half of generative AI budgets are allocated to sales and marketing, even though the highest returns are found in back-office automation.
Outdated IT help desks are proving to be a significant barrier for businesses, as highlighted by recent research from Aberdeen, which indicates that 55% of organizations identify data breaches as a major hurdle in IT support. The increased reliance on cloud services is pressing 45% of businesses to modernize their support systems, with 28% actively pursuing automation to enhance efficiency. Cloud-based help desk solutions are emerging as a promising answer, with 49% of businesses already utilizing these systems to improve service quality and security. Notably, organizations using cloud solutions report a 42% increase in efficient IT processes and a 29% improvement in cybersecurity, illustrating the transformative potential of modern IT support systems.
It may not be all bad. A recent report from Unisys indicates that organizations are planning to increase their spending on cloud technology despite facing disappointing returns on previous investments. The survey, which included 1,000 executives across eight global markets, revealed that fewer than half of the business executives were satisfied with their return on investment in cloud services, generative artificial intelligence, and automation. However, more than 75 percent intend to boost their cloud investments this year. The report highlights a growing disconnect between business and IT leaders regarding technology priorities, which is hindering progress toward realizing returns on investments. Over 40 percent of business executives believe their organizations have made significant strides with artificial intelligence pilots, while less than one-third of IT leaders share that view. Additionally, nearly two-thirds of business executives reported that outdated security infrastructure is a barrier to effective data sharing and analysis.
Why do we care?
MIT just dropped a bomb: 95% of generative AI pilots fail. Not because the models don’t work—because companies can’t figure out how to actually use them. They’re throwing money at flashy sales and marketing tools instead of fixing back-office processes where the ROI is real.
At the same time, outdated help desks are killing security and efficiency. The ones who move to modern, cloud-based systems see big jumps in both. That’s where AI and automation actually work.
And despite lousy returns, executives are plowing more money into cloud and AI. Why? Because standing still feels riskier than moving forward. But business and IT leaders aren’t aligned, and that’s where projects die. This is your sweet spot as an IT provider. Customers don’t need more hype—they need someone to bridge the learning gap, modernize infrastructure, and line up projects with business outcomes. The tech is fine. Execution is the problem.